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    ICMLA
    2008
    123views Machine Learning» more  ICMLA 2008»
    On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
    13 years 7 months ago
    On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers
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    The test set accuracy for ensembles of classifiers selected based on single measures of accuracy and diversity as well as combinations of such measures is investigated. It is foun...
    Tuve Löfström, Ulf Johansson, Henrik Bos...
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    ICMLA
    2008
    139views Machine Learning» more  ICMLA 2008»
    Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
    13 years 7 months ago
    Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
    Download  mecha.ee.boun.edu.tr
    In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capabilit...
    Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. ...
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    ICMLA
    2008
    106views Machine Learning» more  ICMLA 2008»
    Prediction-Directed Compression of POMDPs
    13 years 7 months ago
    Prediction-Directed Compression of POMDPs
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    High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
    Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chai...
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    ICMLA
    2008
    88views Machine Learning» more  ICMLA 2008»
    Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
    13 years 7 months ago
    Probabilistic Exploitation of the Lucas and Kanade Smoothness Constraint
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    The basic idea of Lucas and Kanade is to constrain the local motion measurement by assuming a constant velocity within a spatial neighborhood. We reformulate this spatial constrai...
    Volker Willert, Julian Eggert, Marc Toussaint, Edg...
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    ICMLA
    2008
    107views Machine Learning» more  ICMLA 2008»
    Detection of Sequential Outliers Using a Variable Length Markov Model
    13 years 7 months ago
    Detection of Sequential Outliers Using a Variable Length Markov Model
    Download  www.lirmm.fr
    Mining for outliers in sequential databases is crucial to forward appropriate analysis of data. Therefore, many approaches for the discovery of such anomalies have been proposed. ...
    Cécile Low-Kam, Anne Laurent, Maguelonne Te...
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